Generalized drift analysis in continuous domain: linear convergence of (1 + 1)-ES on strongly convex functions with Lipschitz continuous gradients. - Daiki Morinaga; Youhei Akimoto (FOGA, 2019)

Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2021)

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (CoRR, 2022)

Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions. - Youhei Akimoto; Anne Auger; Tobias Glasmachers; Daiki Morinaga (SIAM J. Optim., 2022)

Sign-Averaging Covariance Matrix Adaptation Evolution Strategy. - Daiki Morinaga; Youhei Akimoto (GECCO, 2024)

Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO Companion, 2024)

Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search. - Daiki Morinaga; Youhei Akimoto (CoRR, 2024)

Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (IEEE Trans. Evol. Comput., 2024)

Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables. - Youhei Akimoto; Xilin Gao; Ze Kai Ng; Daiki Morinaga (GECCO, 2025)

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. - Ryoki Hamano; Kento Uchida; Shinichi Shirakawa; Daiki Morinaga; Youhei Akimoto (Evol. Comput., 2025)